卷积神经网络在水泥熟料fCaO软测量中的应用
1 河北化工医药职业技术学院信息工程系; 2 燕山大学电气工程学院
Application of Convolutional Neural Network in Soft Measurement of Free Calcium in Cement Clinker
1. Department of Information Engineering, Hebei Chemical & Pharmaceutical College ; 2. School of Electrical Engineering, Yanshan University
摘要 介绍了基于卷积神经网络开发的fCaO软测量软件。操作人员可以根据现场实际情况,选取与fCaO含量相关性较大的变量在软件中进行组态,用历史数据进行软测量模型的训练和测试,获得较好的软测量模型,预测实时的生产数据。在重庆某水泥厂的实际应用中,fCaO软测量软件的总体在线预测误差为4.57%,取得了较好效果。
关键词:
水泥熟料fCaO
卷积神经网络
软测量
在线预测
Abstract: FCaO soft measurement software developed by convolutional neural network is introduced.According to the actual situation on site, operators can select variables that are more relevant to the content of fCaO for configuration in the software, and use historical data for training and testing of soft-sensing model to obtain a better soft-sensing model and predict real-time production data.According to the practical application of a cement plant in Chongqing, the overall online prediction error is 4.57%, and good results have been obtained.
Key words:
free calcium in cement clinker
convolutional neural network
soft measuring
online prediction 
收稿日期: 2020-01-08
出版日期: 2020-09-25
发布日期: 2020-10-12
整期出版日期: 2020-09-25
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